Job description

Come join the QuickBooks Capital and Lending Platform as a Senior Software Engineer in Data. You will join an innovative and passionate team of engineers using cutting edge technologies like Python, PySpark, Spark, SQL, Data Bricks, Big Data fundamentals, AWS, Elastic Search, Kafka, to build enterprise scale data engineering pipelines and features for our QuickBooks Capital customers. We are looking for an engineer with a background in data engineering and experience working in a data engineering team for 5+ years. Responsibilities • Understand functional requirements, develop technical designs and specifications, code and test. • You will be required to size work of medium to large complexity and manage timelines and deliveries. • Designing/developing software using data engineering technologies. • You will be spending 90% hands-on designing, coding, testing and supporting production systems (on-call). • Resolve defects/bugs during testing, pre-production, production, and post-release patches. • Work cross-functionally with various Intuit teams: product management, other engineering teams and business units to drive forward results. • Experience with Agile Development, SCRUM, or Extreme Programming methodologies. Qualifications • 5+ years’ experience developing data engineering pipeline using technologies like Python, PySpark, Spark, SQL, DataBricks, AWS, Elastic Search, Kafka. • 5+ year’s experience working on BigData technologies. • BS/MS in computer science or equivalent work experience. • Strong experience with Python and Spark and ability to understand a large existing codebase. • Experience with the entire Software Development Life Cycle (SDLC). • Good experience building and supporting large scale enterprise data engineering pipelines and featurization. • You should have a passion for Engineering and Operational Excellence. • You will support what your team builds in production via quarterly on-call rotations to monitor production systems and resolve production errors & incidents. • Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. • Strong understanding of the Software design/architecture process. • Experience with unit testing & Test-Driven Development (TDD) • Experience with AI coding tools Claude/Cursor Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $171,000 - $231,500

Requirements

Must-haves

Understand functional requirements, develop technical designs and specifications, code and test.
You will be required to size work of medium to large complexity and manage timelines and deliveries.
Designing/developing software using data engineering technologies.
You will be spending 90% hands-on designing, coding, testing and supporting production systems (on-call).
Resolve defects/bugs during testing, pre-production, production, and post-release patches.
Work cross-functionally with various Intuit teams: product management, other engineering teams and business units to drive forward results.
Experience with Agile Development, SCRUM, or Extreme Programming methodologies.
5+ years’ experience developing data engineering pipeline using technologies like Python, PySpark, Spark, SQL, DataBricks, AWS, Elastic Search, Kafka.
5+ year’s experience working on BigData technologies.
BS/MS in computer science or equivalent work experience.
Strong experience with Python and Spark and ability to understand a large existing codebase.
Experience with the entire Software Development Life Cycle (SDLC).
Good experience building and supporting large scale enterprise data engineering pipelines and featurization.
You should have a passion for Engineering and Operational Excellence.
You will support what your team builds in production via quarterly on-call rotations to monitor production systems and resolve production errors & incidents.
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
Strong understanding of the Software design/architecture process.
Experience with unit testing & Test-Driven Development (TDD)
Experience with AI coding tools Claude/Cursor
Mountain View $171,000 - $231,500

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsqlawsagilescrumai

Platform: career-feeds
Effort: medium